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Forecasting mergers and acquisitions failure based on partial-sigmoid neural network and feature selection
Traditional forecasting methods in mergers and acquisitions (M&A) data have two limitations that significantly reduce forecasting accuracy: (1) the imbalance of data, that is, the failure cases of M&A are far fewer than the successful cases (82%/18% of our sample), and (2) both the bidder an...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598039/ https://www.ncbi.nlm.nih.gov/pubmed/34788332 http://dx.doi.org/10.1371/journal.pone.0259575 |